The 2020 Spring/GCPS Meeting will be Held Virtually
As a safety measure amidst the pandemic, AIChE will deliver its 2020 Spring Meeting and 16th Global Congress on Process Safety (and co-located events) virtually. The meeting — which had been rescheduled for August 16–20 in Houston, TX — will now be available via the internet from August 17–21. To read the announcement, see the FAQ, and learn about the new registration rates, click here.
About AIChE Spring Meeting
The AIChE® Spring Meeting is the year’s key technical conference for practicing chemical engineers. A wide range of subjects relevant to the current needs of industry is covered. Plus, the Global Congress on Process Safety covers the critical needs of process safety practitioners more broadly and deeply than any other conference.
AIChE Spring Meeting Focused on applications of technology in core, and emerging, process areas, the AIChE Spring Meeting delivers a highly receptive audience of close to 1,500 buyers and influencers. Session tracks include: Industry 4.0 & Big Data Analytics, Fuels & Petrochemicals, Distillation, Process Development and Gas Utilization.
Global Congress on Process Safety (GCPS) Nearly 1,000 attendees make this the largest gathering of chemical process safety professionals in the world. This annual event is the primary forum to share practical and technological advances in all aspects of process safety.
Don’t miss TrendMiner at the event! Stay tuned for updated session times
Big Data Analytics – Vendor Perspective Session: Date: Tues, August 18 Session Time: 3 PM – 4 PM CT TrendMiner Presentation Time: 3:40PM
This invited session will focus on available commercial big data analytics tools/software for modeling and optimization of processes that can be applied in the chemical, petrochemical, pharmaceutical, food and semiconductor industries. Participants will highlight how these tools are relevant for extracting key information (from high-dimensional data sets) for continuous and batch type processes, where advanced analytical tools based on statistical approaches, data mining, optimization theory are utilized to identify the following tasks from data: (1) regression and forecasting; (2) process optimization (i.e. cycle time reduction, process understanding and troubleshooting); (3) fault and outlier detection; (4) clustering and classification analysis; and (5) visualization.
To read more about AIChE, visit their event website here.
For more information on attending this or future TrendMiner events, or to set up time to talk to someone from TrendMiner about topics covered, contact us here.